Triple

T4412510
Position Surface form Disambiguated ID Type / Status
Subject Murray & Roberts E94882 entity
Predicate stockExchangeTicker P1447 FINISHED
Object MUR
MUR is the stock ticker symbol for Murray & Roberts Holdings Ltd, a South African engineering and construction services company listed on the Johannesburg Stock Exchange.
 E438837 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: MUR | Statement: [Murray & Roberts, stockExchangeTicker, MUR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MUR
Context triple: [Murray & Roberts, stockExchangeTicker, MUR]
  • A. MUR
    MUR is the Italian Ministry responsible for national policies on universities, higher education, and scientific and technological research.
  • B. MOR
    MOR is the ICAO airline designator assigned to the former U.S. low-fare carrier Morris Air.
  • C. MR
    MR is a Belgian French-speaking liberal political party that participated as one of the partners in the federal Vivaldi coalition government led by Alexander De Croo.
  • D. MR
    MR is the official vehicle registration code used on license plates for the city of Marburg in the German state of Hesse.
  • E. MURI
    MURI is a U.S. Department of Defense research program that funds large, multidisciplinary university teams to address complex, high-impact scientific and engineering challenges.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: MUR
Triple: [Murray & Roberts, stockExchangeTicker, MUR]
Generated description
MUR is the stock ticker symbol for Murray & Roberts Holdings Ltd, a South African engineering and construction services company listed on the Johannesburg Stock Exchange.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MUR
Target entity description: MUR is the stock ticker symbol for Murray & Roberts Holdings Ltd, a South African engineering and construction services company listed on the Johannesburg Stock Exchange.
  • A. MUR
    MUR is the Italian Ministry responsible for national policies on universities, higher education, and scientific and technological research.
  • B. MOR
    MOR is the ICAO airline designator assigned to the former U.S. low-fare carrier Morris Air.
  • C. MR
    MR is a Belgian French-speaking liberal political party that participated as one of the partners in the federal Vivaldi coalition government led by Alexander De Croo.
  • D. MR
    MR is the official vehicle registration code used on license plates for the city of Marburg in the German state of Hesse.
  • E. MURI
    MURI is a U.S. Department of Defense research program that funds large, multidisciplinary university teams to address complex, high-impact scientific and engineering challenges.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69b34539638c8190abfea3eb29425210 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b354e7b30c819082ee781dd202dcc4 completed March 13, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f6131de08190968259a0be73cd3f completed March 14, 2026, 11:58 p.m.
NEDg Description generation batch_69b5f76c8ea08190a6f6c81f0c3dcea7 completed March 15, 2026, 12:03 a.m.
NED2 Entity disambiguation (via description) batch_69b5f7e313f48190afb83123e3b24926 completed March 15, 2026, 12:05 a.m.
Created at: March 12, 2026, 11:29 p.m.